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lemexp-task1-v2-template_small_old_defs-deepseek-coder-1.3b-base-ddp-8lr-v2

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End of training

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  1. README.md +60 -60
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. loss_plot.png +0 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1510
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  ## Model description
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@@ -52,65 +52,65 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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- | 0.425 | 0.2002 | 721 | 0.3080 |
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- | 0.3071 | 0.4003 | 1442 | 0.2725 |
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- | 0.2669 | 0.6005 | 2163 | 0.2568 |
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- | 0.2608 | 0.8007 | 2884 | 0.2484 |
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- | 0.2484 | 1.0008 | 3605 | 0.2393 |
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- | 0.2343 | 1.2010 | 4326 | 0.2373 |
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- | 0.2334 | 1.4012 | 5047 | 0.2319 |
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- | 0.2262 | 1.6013 | 5768 | 0.2233 |
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- | 0.2229 | 1.8015 | 6489 | 0.2282 |
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- | 0.2196 | 2.0017 | 7210 | 0.2183 |
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- | 0.2102 | 2.2018 | 7931 | 0.2168 |
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- | 0.2097 | 2.4020 | 8652 | 0.2109 |
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- | 0.2046 | 2.6022 | 9373 | 0.2026 |
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- | 0.2034 | 2.8023 | 10094 | 0.2002 |
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- | 0.2023 | 3.0025 | 10815 | 0.2004 |
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- | 0.1906 | 3.2027 | 11536 | 0.1974 |
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- | 0.1905 | 3.4028 | 12257 | 0.1967 |
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- | 0.1875 | 3.6030 | 12978 | 0.1944 |
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- | 0.1852 | 3.8032 | 13699 | 0.1932 |
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- | 0.1875 | 4.0033 | 14420 | 0.1944 |
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- | 0.1754 | 4.2035 | 15141 | 0.1863 |
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- | 0.175 | 4.4037 | 15862 | 0.1834 |
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- | 0.1747 | 4.6038 | 16583 | 0.1904 |
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- | 0.175 | 4.8040 | 17304 | 0.1841 |
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- | 0.1739 | 5.0042 | 18025 | 0.1820 |
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- | 0.1604 | 5.2043 | 18746 | 0.1812 |
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- | 0.1628 | 5.4045 | 19467 | 0.1794 |
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- | 0.1608 | 5.6047 | 20188 | 0.1802 |
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- | 0.161 | 5.8048 | 20909 | 0.1737 |
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- | 0.1596 | 6.0050 | 21630 | 0.1763 |
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- | 0.151 | 6.2052 | 22351 | 0.1731 |
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- | 0.1501 | 6.4053 | 23072 | 0.1703 |
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- | 0.1487 | 6.6055 | 23793 | 0.1684 |
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- | 0.149 | 6.8057 | 24514 | 0.1654 |
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- | 0.1474 | 7.0058 | 25235 | 0.1642 |
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- | 0.1389 | 7.2060 | 25956 | 0.1641 |
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- | 0.1387 | 7.4062 | 26677 | 0.1635 |
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- | 0.1361 | 7.6063 | 27398 | 0.1637 |
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- | 0.1357 | 7.8065 | 28119 | 0.1627 |
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- | 0.1358 | 8.0067 | 28840 | 0.1605 |
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- | 0.1225 | 8.2068 | 29561 | 0.1575 |
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- | 0.1245 | 8.4070 | 30282 | 0.1540 |
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- | 0.1232 | 8.6072 | 31003 | 0.1558 |
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- | 0.1238 | 8.8073 | 31724 | 0.1539 |
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- | 0.1231 | 9.0075 | 32445 | 0.1525 |
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- | 0.1094 | 9.2077 | 33166 | 0.1560 |
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- | 0.1091 | 9.4078 | 33887 | 0.1528 |
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- | 0.1105 | 9.6080 | 34608 | 0.1505 |
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- | 0.1101 | 9.8082 | 35329 | 0.1523 |
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- | 0.1106 | 10.0083 | 36050 | 0.1537 |
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- | 0.0975 | 10.2085 | 36771 | 0.1569 |
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- | 0.0963 | 10.4087 | 37492 | 0.1513 |
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- | 0.0981 | 10.6088 | 38213 | 0.1516 |
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- | 0.0966 | 10.8090 | 38934 | 0.1507 |
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- | 0.0959 | 11.0092 | 39655 | 0.1513 |
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- | 0.089 | 11.2093 | 40376 | 0.1534 |
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- | 0.0866 | 11.4095 | 41097 | 0.1549 |
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- | 0.0871 | 11.6097 | 41818 | 0.1522 |
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- | 0.0866 | 11.8098 | 42539 | 0.1510 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1547
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4292 | 0.2002 | 721 | 0.3077 |
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+ | 0.3079 | 0.4003 | 1442 | 0.2790 |
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+ | 0.269 | 0.6005 | 2163 | 0.2551 |
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+ | 0.2612 | 0.8007 | 2884 | 0.2621 |
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+ | 0.2497 | 1.0008 | 3605 | 0.2418 |
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+ | 0.2361 | 1.2010 | 4326 | 0.2328 |
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+ | 0.2348 | 1.4012 | 5047 | 0.2309 |
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+ | 0.2266 | 1.6013 | 5768 | 0.2232 |
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+ | 0.2269 | 1.8015 | 6489 | 0.2266 |
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+ | 0.2223 | 2.0017 | 7210 | 0.2175 |
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+ | 0.213 | 2.2018 | 7931 | 0.2132 |
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+ | 0.2106 | 2.4020 | 8652 | 0.2099 |
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+ | 0.2066 | 2.6022 | 9373 | 0.2076 |
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+ | 0.2066 | 2.8023 | 10094 | 0.2104 |
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+ | 0.2037 | 3.0025 | 10815 | 0.1996 |
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+ | 0.1934 | 3.2027 | 11536 | 0.1989 |
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+ | 0.1925 | 3.4028 | 12257 | 0.1944 |
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+ | 0.1907 | 3.6030 | 12978 | 0.1925 |
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+ | 0.1892 | 3.8032 | 13699 | 0.1992 |
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+ | 0.1889 | 4.0033 | 14420 | 0.1979 |
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+ | 0.1773 | 4.2035 | 15141 | 0.1879 |
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+ | 0.1763 | 4.4037 | 15862 | 0.1904 |
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+ | 0.1772 | 4.6038 | 16583 | 0.1902 |
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+ | 0.1772 | 4.8040 | 17304 | 0.1850 |
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+ | 0.1753 | 5.0042 | 18025 | 0.1849 |
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+ | 0.1632 | 5.2043 | 18746 | 0.1833 |
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+ | 0.1643 | 5.4045 | 19467 | 0.1788 |
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+ | 0.1627 | 5.6047 | 20188 | 0.1841 |
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+ | 0.1635 | 5.8048 | 20909 | 0.1780 |
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+ | 0.163 | 6.0050 | 21630 | 0.1774 |
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+ | 0.1536 | 6.2052 | 22351 | 0.1745 |
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+ | 0.1519 | 6.4053 | 23072 | 0.1731 |
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+ | 0.1502 | 6.6055 | 23793 | 0.1710 |
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+ | 0.1512 | 6.8057 | 24514 | 0.1705 |
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+ | 0.1501 | 7.0058 | 25235 | 0.1696 |
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+ | 0.1419 | 7.2060 | 25956 | 0.1694 |
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+ | 0.1398 | 7.4062 | 26677 | 0.1660 |
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+ | 0.1394 | 7.6063 | 27398 | 0.1697 |
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+ | 0.1379 | 7.8065 | 28119 | 0.1644 |
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+ | 0.1379 | 8.0067 | 28840 | 0.1654 |
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+ | 0.125 | 8.2068 | 29561 | 0.1608 |
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+ | 0.1261 | 8.4070 | 30282 | 0.1613 |
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+ | 0.1257 | 8.6072 | 31003 | 0.1583 |
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+ | 0.1265 | 8.8073 | 31724 | 0.1581 |
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+ | 0.1251 | 9.0075 | 32445 | 0.1584 |
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+ | 0.1126 | 9.2077 | 33166 | 0.1593 |
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+ | 0.1117 | 9.4078 | 33887 | 0.1567 |
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+ | 0.1125 | 9.6080 | 34608 | 0.1554 |
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+ | 0.1125 | 9.8082 | 35329 | 0.1526 |
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+ | 0.113 | 10.0083 | 36050 | 0.1564 |
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+ | 0.1004 | 10.2085 | 36771 | 0.1621 |
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+ | 0.0992 | 10.4087 | 37492 | 0.1540 |
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+ | 0.0995 | 10.6088 | 38213 | 0.1533 |
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+ | 0.0996 | 10.8090 | 38934 | 0.1531 |
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+ | 0.0986 | 11.0092 | 39655 | 0.1545 |
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+ | 0.0921 | 11.2093 | 40376 | 0.1575 |
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+ | 0.089 | 11.4095 | 41097 | 0.1569 |
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+ | 0.0894 | 11.6097 | 41818 | 0.1566 |
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+ | 0.0893 | 11.8098 | 42539 | 0.1547 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -23,8 +23,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "v_proj",
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- "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "q_proj",
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+ "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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loss_plot.png CHANGED
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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